activity
20182025
most citedCore Cosmology Library: Precision Cosmological Predictions for LSST

295 citations · 367 across the 8 of their papers we have counts for

collaborators

8 papers

astro-ph.CO2025

Forecasting the Impact of Source Galaxy Photometric Redshift Uncertainties on the LSST pt Analysis

Tianqing Zhang, Husni Almoubayyed, Rachel Mandelbaum +7

Photometric redshifts of the source galaxies are a key source of systematic uncertainty in the Rubin Observatory Legacy Survey of Space and Time (LSST)'s galaxy clustering and weak…

cs.CY2025★ 5 cited

Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data

Ge Gao, Amelia Leon, Andrea Jetten +4

Educational stakeholders are often particularly interested in sparse, delayed student outcomes, like end-of-year statewide exams. The rare occurrence of such assessments makes it h…

astro-ph.CO2022★ 14 cited

Impact of Point Spread Function Higher Moments Error on Weak Gravitational Lensing II: A Comprehensive Study

Tianqing Zhang, Husni Almoubayyed, Rachel Mandelbaum +6

Weak gravitational lensing, or weak lensing, is one of the most powerful probes for dark matter and dark energy science, although it faces increasing challenges in controlling syst…

astro-ph.IM2021

Impact of Point Spread Function Higher Moments Error on Weak Gravitational Lensing

Tianqing Zhang, Rachel Mandelbaum, The LSST Dark Energy Science Collaboration

Weak gravitational lensing is one of the most powerful tools for cosmology, while subject to challenges in quantifying subtle systematic biases. The Point Spread Function (PSF) can…

astro-ph.CO2021★ 33 cited

The Impact of Observing Strategy on Cosmological Constraints with LSST

Michelle Lochner, Dan Scolnic, Husni Almoubayyed +24

The generation-defining Vera C. Rubin Observatory will make state-of-the-art measurements of both the static and transient universe through its Legacy Survey for Space and Time (LS…

astro-ph.IM2020★ 7 cited

Optimising LSST Observing Strategy for Weak Lensing Systematics

Husni Almoubayyed, Rachel Mandelbaum, Humna Awan +6

The LSST survey will provide unprecedented statistical power for measurements of dark energy. Consequently, controlling systematic uncertainties is becoming more important than eve…

astro-ph.IM2018★ 13 cited

Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey

Michelle Lochner, Daniel M. Scolnic, Humna Awan +33

Cosmology is one of the four science pillars of LSST, which promises to be transformative for our understanding of dark energy and dark matter. The LSST Dark Energy Science Collabo…

astro-ph.CO2018★ 295 cited

Core Cosmology Library: Precision Cosmological Predictions for LSST

Nora Elisa Chisari, David Alonso, Elisabeth Krause +27

The Core Cosmology Library (CCL) provides routines to compute basic cosmological observables to a high degree of accuracy, which have been verified with an extensive suite of valid…